Abstract
The present study aimed to correlate the influence of water quality, cultivation time, area, and density of ponds on the zootechnical performance of shrimp Litopenaeus vannamei in oligohaline waters. It was demonstrated that, under the conditions of this research, better control of temperature, pH and water alkalinity can be employed. Ammonia levels were within the normal range and correlated positively with the growth rate (ρ = 0.69859) and production (ρ = 0.66362) of the ponds. There was also a positive correlation between cultivation time and pond density with shrimp weight (ρ = 0.75305 and 0.68933) and pond productivity (ρ = 0.74763 and 0.79367, respectively). Negative correlations were observed between: I) pH with shrimp survival (ρ = -0.73238) and pond production (ρ = -0.68696); II) alkalinity and pond production (ρ = -0.66162). The results show that the cultivation of shrimp L. vannamei in oligohaline waters is viable and there is potential for increased productivity associated with better hydrological monitoring and use of higher density and cultivation time by some producers.
Publisher
Universidade Estadual de Maringa
Subject
Animal Science and Zoology,Food Science
Reference40 articles.
1. Associação Brasileira dos Criadores de Camarão [ABCC]. (2005). Programa de biossegurança para fazendas de camarão marinho. Recife, PE: ABCC.
2. Associação Brasileira dos Criadores de Camarão [ABCC]. (2013). Levantamento da infraestrutura produtiva e dos aspectos tecnológicos, econômicos, sociais e ambientais da carcinicultura marinha no Brasil em 2011. Natal, RN: ABCC/MPA.
3. Bórquez-Lopez, R. A. R., Casillas-Hernández, R., López-Elías, J. A., Barraza-Guardado, R. H., & Martínez-Córdova, L. R. (2018). Improving feeding strategies for shrimp farming using fuzzy logic, based on water quality parameters. Aquaculture Engineering, 81(1), 38-45. DOI: https://doi.org/10.1016/j.aquaeng.2018.01.002
4. Boyd, C. E., & Clay, J. W. (2002). Evaluation of Belize Aquaculture Ltd: a superintensive shrimp aquaculture system. Rome, IT: FAO.
5. Carbajal-Hernández, J. J., Sánchez-Fernández, L. P, Hernández-Bautista, I., & Hernández-López, J. (2017). Modelo basado en redes neuronales artificiales para la evaluación de la calidad del agua en sistemas de cultivo extensivo de camarón. Tecnología y Ciencias del Agua, 8(5), 71-89. DOI: https://doi.org/10.24850/j-tyca-2017-05-05